As a Chicago-born data scientist raised on jazz and midnight pick-and-roll, I’ve watched how predictive models—built on cold logic and clean data—still fall short against the chaotic rhythm of human intuition. This isn’t about luck. It’s about unreadable variables: fatigue in defensive schemes, the unquantified grit of a guard’s last step, the silent weight of a coach’s decision. Here, the algorithm doesn’t see what the eye does.